Sentence examples for image optimisation from inspiring English sources
Based on the technological advances in the field of US including modern transducers and image optimisation techniques, it is expected that current US devices may provide improved accuracy for diagnosing carotid ulceration [72].
The presence or absence of artefacts such as B-lines are an important part of lung ultrasound (LUS), hence one should be mindful to deactivate any image optimisation software that is inherently built-in to newer ultrasound machines, as this would remove or diminish the presence of these useful artefacts when performing LUS.
The image optimisation study concurred with the consensus opinion and clearly demonstrated that a failure to bisect the Ao perpendicularly could result in the appearance of AVP in horses that were shown to have normal valve function.
By using the criteria outlined in the image optimisation study it is possible to create consistent views of the Ao that enables reliable identification of AVP as demonstrated by evaluating technique reproducibility.
The aim of image quality optimisation is to provide an image that is suitable for the clinical task with the lowest radiation dose given to the patient.
This filter called "Multi-View Binary Phase-Only Filter" is based on a double fusion of reference images allowing an optimisation of the use of the spatial-bandwidth product (SBWP) in the filter Fourier plane.
On the other hand, operator-independent techniques [ 36– 39] are more sensitive to the noise level of PET images and require optimisation strategies and accurate validation [ 16].
Optimisation of image guidance procedures in radiotherapy.
However, the 3D SPACE sequence needs further optimisation regarding image quality and further acceleration of acquisition for improving time efficiency and patient comfort.
The group works with the optimisation of image analysis for a more accurate estimation of the radiation exposure of normal and tumour tissue during radionuclide therapy.
The group works with the optimisation of image analysis for a more accurate estimation of the radiation exposure of normal and tumour tissue.
